Alejandra Gonzalez-Beltran is a Senior Research Associate on Computational and Systems Medicine at University College London, UK. She holds a PhD from Queen’s University Belfast, UK, and a Licentiateship (equivalent to MSc) in Computer Science from Universidad Nacional de Rosario, Argentina. Her research interests are on data and metadata management for large-scale distributed systems, including knowledge representation and federated ontology-based queries for biomedical applications.
Allan Hanbury is Senior Researcher and Privatdozent at the Vienna University of Technology, Austria. He is scientific coordinator of the EU-funded KHRESMOI Integrated Project on medical and health information search and analysis, coordinator of the EU-funded VISCERAL project on evaluation of algorithms on big data, and coordinator of the CHIST-ERA project MUCKE on credibility of and search in multimodal data and social networks. His research interests include information retrieval, multimodal information retrieval, and the evaluation of information retrieval systems and algorithms.
Amit is a Ph.D. Student as well as a Marie Curie researcher at the University of Bedfordshire working on Quantum Information Retrieval. His current and future research interests include (but not limited) Information Retrieval, Natural Language Processing, Deep Learning, and complex search tasks. His main research goal is to apply quantum theory to Information seeking and retrieval in order to build a quantum model inspired by Information Foraging Theory.
Aldo Lipani is Ph.D. Student at the Vienna University of Technology working on evaluation in Information Retrieval. Aldo’s main focus is on a) improving the reliability of the test collection based evaluation, in particular aiming at correcting the pool bias (the effect that documents that were not selected in the pool created from the original runs will never be considered relevant) and, b) developing an analytical approach to accessibility measures.
Andy is a Reader in Information Retrieval in the Department of Computer Science at City, University of London, and is a member of the Centre for HCI Design. He is the past Chair of the BCS Information Retrieval Specialist Group and is a long standing member of that SG.
Benjamin Kille currently pursues his PhD at the Berlin Institute of Technology. Previously, he obtained a Masters degree in Computer Science from the Karlsruhe Institute of Technology. He has organised various workshops and challenges in the field of recommender systems including the News Recommendation Workshop and Challenge (2013) and CLEF NewsREEL (2014-2016). His research mainly focuses on recommender systems, machine learning, and data analytics.
Birger Larsen is Professor of Information Analysis and Information Retrieval at the Department of Communication and Psychology, Aalborg University Copenhagen (Denmark).
Benno Stein is chair of the Web Technology and Information Systems Group at the Bauhaus-Universität Weimar (www.webis.de). His research focuses on the theory, on algorithms, and on innovative tools for information retrieval and data mining. He is chair of the international workshop series TIR on Text-based Information Retrieval, initiator and co-organizer of PAN, a research network that is dedicated to authorship modeling and text misuse detection, and spokesman of the forthcoming Digital Bauhaus Lab (www.digital-bauhaus-lab.de). Professional background: Study at the Technical University of Karlsruhe. Dissertation and habilitation in computer science at the University of Paderborn. Appointed as full professor at the Bauhaus-Universität Weimar in 2005. Research stays at IBM, Germany, and the International Computer Science Institute, Berkeley.
Cathal Gurrin is a lecturer at the School of Computing at Dublin City University, Ireland and currently a visiting researcher at the University of Tromso, Norway. His research interest is in human digital memories and the challenges of developing a new generation of search-engine and content-understanding tools to support users in gathering and searching huge personal lifelog archives.
Carsten Eickhoff is a Ph.D. student at Delft University of Technology. His main research interests are information retrieval, natural language processing and crowdsourcing. In particular, he investigates multi-dimensional notions of document relevance. In 2013, he organized the 13th edition of the Dutch-Belgian workshop on information Retrieval.
Claudia Hauff is a postdoctoral researcher at the Delft University of Technology in the Netherlands. She received her PhD in information retrieval from the University of Twente in the Netherlands. Her research interests include retrieval evaluation, retrieval on the social Web and query performance prediction.
Charlie Hull runs Flax, open source search specialists based in Cambridge, U.K. Flax build search applications based on open source software for clients worldwide.
I'm a PhD student at Queen Mary University London with a computer science background. My current interests are Natural Language Processing and Gamification.
Colin is a PhD student at the University of Glasgow, he received his masters from the same institution whilst working as a Research Assistant with Leif Azzopardi. Following this position, Colin worked at Signal Media for 6 months as a Data Scientist before commencing his PhD. Colin has been working on the evaluation of bias in search and has been investigating the relationship between retrieval performance and bias to uncover whether reducing bias, improves performance.
David Elsweiler is a lecturer and post-doctoral researcher at the Chair for Information Science at the University of Regensburg. Previously, he was an Alexander von Humboldt Research Fellow at the University of Erlangen. He completed his PhD at the University of Strathclyde. While primarily active in the field of Information Retrieval, his research interests lie in the broader aspects of Information Behaviour. His work tries to understand how people find, manage and re-find information, the problems they experience while performing these activities and design systems to provide support in overcoming these difficulties.
Deirdre Lungley recently completed her PhD at the University of Essex, exploring adaptive Information Retrieval, and is currently involved in a research collaboration with the University of Trento. Her research interests include query log mining and query classification.
Franco Maria Nardini is currently a research fellow at ISTI-CNR in Pisa. He received his Ph.D. from the Department of Information Engineering of the University of Pisa in 2011 discussing his thesis "Query Log Mining to Enhance User Experience in Search Engines". His research interests are mainly focused on Information retrieval and Web mining. His work is focused on developing techniques for extracting and exploiting valuable knowledge from the behavior of Web search engine users, and on the use of those techniques within efficient and effective solutions to increase the user experience in Web search engines.
Giorgio Maria Di nunzio is an Assistant Professor at the Department of Information Engineering, University of Padua. His main research interests are the study of probabilistic models for information retrieval and text classification and innovative methods for the use of gamification in machine learning experiments.
Gabriella Kazai is VP of Data Science at Lumi, the startup company behind the Lumi Social News app which provides personalised recommendations of crowd curated content from across the world's media and social networks, see android.lumi.do. Prior to that, Gabriella worked as a research consultant at Microsoft Bing and at Microsoft Research. Her research interests include recommender systems, machine learning, IR, crowdsourcing, gamification, data mining, social networks and PIM, with influences from HCI. She holds a PhD in IR from Queen Mary University of London. She published over 90 research papers and organised several workshops (e.g., BooksOnline 2008-2012, GamifIR 2014-2015) and IR conferences (ICTIR 2009, ECIR 2015). She is one of the founders and organisers of the INEX Book Track since 2007 and the TREC Crowdsourcing track 2011-2013. She is also co-organiser of the News IR Workshop.
Gabriel Tanase is currently a data architect with Spencer Stuart, one of the world’s leading executive search consulting firms. His current professional interests are in the areas of data modeling for semantic-assisted applications and semantic search supporting highly adaptable, information-dense business processes.
Helen Clegg is part of the data science team at A.T. Kearney, a global management consultancy, where she conducts text analytics with special emphasis on social media analytics. She has over 20 years’ experience in international business research and knowledge management gained at consultancies and Fortune 500 companies in London, Munich, Paris and Amsterdam. Helen holds a Masters in Library Science and undergraduate degree in French and German. She is a qualified Marketer with the UK’s Chartered Institute of Marketing (CIM) and an affiliate member of the UK’s Chartered Institute of Procurement & Supply (CIPS), serving on the East Anglia Branch Committee. Helen is an active contributor to the global information and research community having presented at conferences including Taxonomy Boot Camp, Text Analytics World, Online Information and KM World. She is a guest lecturer at the Grenoble Graduate School of Management and London School of Business & Finance, and a peer reviewer for the Journal of Library and Information Science. In her spare time, Helen is studying horticulture and permaculture and has an allotment where she is putting the permaculture principles into practice.
Ingo is a senior lecturer in computer science at the University of Bedfordshire in Luton, UK. His research focuses on different aspects of information retrieval, in particular formal models for user-oriented search and digital libraries, with emphasis on polyrepresentation, annotation-based retrieval, interactive quantum-based IR and probabilistic and logic-based models. Consulting projects provide him with an opportunity to apply the knowledge he gained over several years to real life tasks. His research related activities include his engagement as managing editor of the International Journal on Digital Libraries and as editorial board member of the German Datenbank-Spektrum (the joint journal of the German IR and Database Special Interest Groups). As a member of the steering committees of both the German Information Retrieval Special Interest Group and the BCS Information Retrieval Study Group (BCS-IRSG) he is trying to bridge the gap between these groups. He has also been involved in organising workshops and conferences as local, programme and proceedings chair, as member of the programme committee and as a reviewer. Ingo is actively sharing his passion for information retrieval and digital libraries on Twitter where he is known as @iFromm.
Research at the University of Essex and UXLabs with an interest in social networks, collective intelligence, search strategies and biotechnology.
Jolanta Mizera-Pietraszko is a Ph.D. Fellow at Institute of Informatics, Faculty of Computer Science and Management, Wroclaw University of Technology, Poland. Her research interests are mainly focused on multilingual search engines, parallel languages, bi-text processing, bilingual question answering systems and multilingual digital libraries. She invented an innovative language and system independent asymmetric translation technology entitled An Approach to Analysis of Machine Translation Precision by Using Language Pair Phenomena, Invention number P387576 registered on 23.03.2009 by the Patent Office of the Republic of Poland. She in an FP7 Expert for the European Commission in Brussels, an Expert in R&D projects for the Ministry of Science, an Evaluator of English Course books for the Ministry of Education. She gave a tutorial on Translation Component as an Impact Factor on the Retrieval Results at Ionian University, Corfu, Greece, an Association of Computing Machinery Board Member for Computing Reviews, US. She reviews up-to-date software release and books for the British Computer Society, London, UK. She is an IEEE Technical Committee on Digital Libraries Fellow. She has been invited to serve on International Program Committees of the conferences in the UK, Czech Republic, India and Poland. Her projects have achieved recognition from the university, the European Union, foreign scientific institutions and the Polish Ministry of Science.
John Tait obtained a Ph.D. from the University of Cambridge in 1983 for a thesis entitled “Automatic Summarising of English Text”. He subsequently followed a career in industry, mainly working on problems of large scale information retrieval and management, before taking up a post at the University of Sunderland in 1991, where he eventually became Professor of Intelligent Information Systems and Associate Dean of Computing And Technology, as well as leading the University of Sunderland Information Retrieval Group. He now runs his own boutique consultancy, specialising in patent search and other areas of specialised information management. John is Chair of the BCS IRSG, a past Programme Committee chair of the ACM SIGIR conference (2005), an Associate Editor of ACM Transaction on Information Systems, joint Editor of Natural Language Engineering and has published over 100 refereed conference and journal papers. His current research focuses on problems of multi-lingual search and on patent retrieval.
Katherine Allen is Business Development Director for Information Today Europe, and Conference Director for the Taxonomy Boot Camp London series of events as well as Streaming Forum and Internet Librarian International.
Luca Soldaini is a Ph.D. candidate at the Department of Computer Science at Georgetown University and a member of the Information Retrieval Lab. He earned his undergraduate degree in Computer Engineering at University of Florence. Luca's research interests include text mining, information retrieval, and NLP applications for the medical domain. In particular, he is focused on improving access to medical information by bridging the knowledge gap between health information seekers and medical content.
I am a PhD student at the University of Bedfordshire, working on Probabilistic Document Clustering and Interactive Information Retrieval.
I am a PhD student within the iLab and MobiquitousLab institutes of the Department of Computer & Information Sciences at The University of Strathclyde in Glasgow. My main research interests include human-computer interaction with focus on usability and interface testing, and implementation of natural language dialogue systems in information retrieval. I hold an Msc in Speech and Language processing from The University of Edinburgh.
Morgan Harvey is a senior lecturer in the department of mathematics and information sciences at Northumbria University in the United Kingdom. He received his PhD in information retrieval from Strathclyde University in 2011 and completed 2 post-doc positions in Erlangen, Germany and Lugano, Switzerland. His current areas of interest for research include personalisation and topic modelling, search and refinding behaviour and recommender systems with a focus on health and nutrition,
Mohammad is a Ph.D. student at Università della Svizzera italiana (USI) in Switzerland, working on Mobile Information Retrieval. His main emphasis is on combining different relevance criteria for mobile IR. Some of the relevance criteria are topical, temporal, geographical, etc. Before that, he has worked on Contextual Suggestion and Spoken Language Understanding.
Dr Michael Oakes is a Senior Lecturer in Computing and has a PhD in information retrieval associated with search engine technology. His research interest is in corpus linguistics, discovering differences between the types of English used throughout the world. Currently, he is writing an article on disputed authorship, plagiarism software and spam filters for the Oxford Handbook of Computational Linguistics.
Michail (Mike) Salampasis is a full professor at the department of Informatics at the Technological Educational Institute of Thessaloniki, Greece. His main research interests are in applied and interdisciplinary studies in information science, including models and experiments related to information-seeking behaviour, information seeking in large professional search systems, distributed information retrieval and search systems evaluation. Currently, he is the coordinator of the COST Action (research network) ‘Multilingual and Multifaceted Interactive Information Access’ and a Marie Curie Fellow at the Institute of Software Technology and Interactive Systems, Vienna University of Technology.
Markus Schedl is Associate Professor at the Johannes Kepler University Linz / Department of Computational Perception. He graduated in Computer Science from the Vienna University of Technology and earned his Ph.D. in Computer Science from the Johannes Kepler University Linz. Markus further studied International Business Administration at the Vienna University of Economics and Business Administration as well as at the Handelshögskolan of the University of Gothenburg, which led to a Master's degree. Markus (co-)authored more than 80 refereed conference papers and journal articles (among others, published in ACM Multimedia, SIGIR, ECIR, IEEE Visualization; Journal of Machine Learning Research, ACM Transactions on Information Systems, Springer Information Retrieval, IEEE Multimedia). His main research interests include web and social media mining, information retrieval, multimedia, and music information research. He further spent several guest research and lecturing stays at the Universitat Pompeu Fabra, Barcelona, Spain, the Utrecht University, the Netherlands, the Queen Mary, University of London, UK, and the Kungliga Tekniska Högskolan, Stockholm, Sweden.
Marc Sloan is a senior graduate student completing his PhD thesis in University College London. His background is in information retrieval, machine learning and financial computing and his thesis is on dynamic IR. His research interests in information retrieval include applying reinforcement learning techniques such as multi-armed bandits and POMDPs to IR learning systems over time, contextual session search and query suggestion.
Marianne Sweeny started out as an information architect in 1997. She transitioned to optimizing search systems after studying information retrieval at the University of Washington. Through her company Daedalus Information Systems, she offers strategic search consulting for organic, paid and enterprise search systems. She can be reached at email@example.com.
Norbert Fuhr received a master degree and a PhD (Dr.) in computer science from the TU Darmstadt He was assistant professor at the Technical University of Darmstadt and associate professor at the Technical University of Dortmund. Since 2002, he s a full professor in the Faculty of Engineering Sciences at the University of Duisburg-Essen (Germany), Fuhr has published more than 200 papers in the fields or IR, databases and digital libraries. He is a past chair of the IR specialist group of the German Informatics Society from 1991-2008, acted as program chair of the major international IR conferences and sits on the editorial boards of three international journals. In 2012, he received the Gerard Salton Award of ACM-SIGIR
Nandita Tripathi has a PhD from the University of Sunderland, UK. Her main research interests are Information Retrieval, Data Mining, Text Analytics, Unstructured Data and Machine Learning.
Dr Paul Matthews is a Senior Lecturer in the Department of Computer Science and Creative Technologies at the University of the West of England at Bristol, involved in research and teaching in Information Science, Web Development and Interaction Design. He recently completed a part-time DPhil in knowledge exchange and the social web, focusing on social question-answering
Paul is a Geoscientist turned Information Scientist. He is currently researching a PhD part time at Robert Gordon University, in the Causes and Conditions for Poor Search Task Performance in the Enterprise. Applying a Systems Thinking Approach, the focus is on the oil and gas industry, although he is interested in the transferability of findings to other sectors.
Philipp Mayr is a postdoctoral researcher and team lead at the GESIS department Knowledge Technologies for the Social Sciences (WTS). Since winter semester 2012, he teaches as a senior lecturer at Cologne University of Applied Sciences, Faculty 03 of Information Science. From October 2009 till August 2011, Philipp Mayr was a visiting professor for knowledge representation at University of Applied Sciences in Darmstadt, Department of Information Science & Engineering. Philipp Mayr is a graduate of the Berlin School of Library and Information Science at Humboldt University Berlin where he finished his doctoral research in 2009. He studied LIS, computer science and sociology. Since November 2004, he has been working in the internationally recognized projects "Competence Center Modeling and Treatment of Heterogeneity" (KoMoHe) and "Value-Added Services for Information Retrieval" (IRM) as a researcher and principal investigator. Philipp Mayr published in the areas Informetrics, Information Retrieval and Digital Libraries and is an active organizer of the Networked Knowledge Organization Systems/Services (NKOS) European network. He is member of the editorial board of the information science journals Scientometrics and Information Wissenschaft & Praxis. He serves frequently as a reviewer for various journals (e.g. JASIST, Aslib Proceedings, Online Information Review) and international conference program committees (e.g. Dublin Core, ESWC/ISWC, iConference 2014).
Parth Mehta recently completed his Phd, from DA-IICT Gandhinagar where he was a part of the Information Retrieval and Language Processing Lab. His research interest lies at the intersection of Information Retrieval, Natural Langauge Processing and Machine Learning. His thesis specifically focuses on exploring new methods for creating ensembles of different text summarization techniques as well as using machine learning for text generation.
Roman Kern is the division manager of the Knowledge Discovery area at the Know-Center and senior researcher at the Graz University of Technology, where he works on information retrieval, natural language processing and machine learning. He participates in a number of EU research projects, where he serves as coordinator and work package leader. He also gives lectures at the Technical University of Graz for Software Architecture, Knowledge Discovery and Data Science. He also serves as supervisor for Bachelor, Master and PhD students. He published over 40 peer-reviewed publications and achieved top rank results in international scientific challenges like CLEF, ACL SemEval.
Roland is a PhD student in the natural language processing group at the University of Sheffield. He is focussing on relation extraction from biomedical literature in combination with the Unified Medical Language System (UMLS). Since October 2015 he is also working for the German Research Center for Artificial Intelligence (DFKI GmbH).
Samuel Dodson is a PhD student at the University of British Columbia.
Sascha Kriewel attained a diploma in computer science at the University of Dortmund in Germany before joining the research group of Norbert Fuhr in Duisburg. He holds a Doctorate of Engineering (Dr.-Ing.) from the University of Duisburg-Essen, where he is currently working as a teamleader within the European Khresmoi project.
Song Chen is currently a Lead Computer Scientist with MITRE Corporation. He holds a PhD degree in Information Systems from University of Maryland Baltimore County and Masters in Business Administration and Health Administration from University of Washington in Seattle. He also received a bachelor degree in Pharmaceutical Chemistry from Peking University. He has many years of experience in using data mining and machine learning algorithms for health-care fraud detection and anomaly detection. His research mainly focuses on applying data analytics to health care datasets and assists with improving the overall quality and effectiveness. His recent research involves using matrix vectorization methods to uncover the unusual relationships within a social network.
Silviu Paun is a PhD student at the University of Essex. He holds an EPSRC CASE studentship with BT. His research area is Big Data and more specifically the automatic extraction of useful knowledge by combining information obtained from sensor data with social media feeds.
Steven Zimmerman is a PhD student at the University of Essex. His research interests are in the areas of IR, NLP and event prediction. He is currently involved with the Human Rights Big Data and Technology project. His work is focussed on development of methods to enable users with better tools and transparency for their experience in information retrieval platforms and to be better informed about the information they view. His research ultimately addresses concerns around freedom of expression, censorship, privacy as well as misinformation and toxic media.
Tu Bui is a PhD student in the Centre for Vision, Speech and Signal Processing (CVSSP) at University of Surrey. His main research focuses on large scale Visual Search and Object Classification related to sketch. His work involves developing machine learning techniques to automatically recognise sketch drawn by amateur users and its applications in Content-based Image Retrieval. Tu gained his BEng degree in Electronics Engineering from University of Surrey in 2014.
I am a part-time PhD student at Knowledge Media Institute, Open University under supervision of Prof Stefan Rueger. In my full-time, I work as a software engineer for Google.
Christa Womser-Hacker is full professor of Information Science at the University of Hildesheim, Germany and director of the Department of Information Science and Natural Language Processing. Prior to her current position, she was an assistant professor at the University of Regensburg, were she got her Ph.D. and Venia Legendi from. Her Ph.D. thesis addressed evaluation aspects of patent information retrieval. The post-doctoral thesis (German “Habilitation”) was concerned with a model for meta information retrieval. Christa Womser-Hacker has published many articles, two books and conference proceedings related to the field of Information Science. She has been a reviewer for several scientific journals and a member of program boards of workshops and conferences. Currently, she is a member of several scientific advisory boards: of GESIS Leibniz Institute for the Social Sciences, and of the German Institute of Sports Sciences. Furthermore she participates in the management board of the German Association for Information Science, the Information Retrieval Specialist Group in the German Computer Society, and the German HCI group. Her main research focus is in cross-lingual information retrieval, user-friendly, intercultural human-computer interaction for information and learning systems and information seeking behaviour. Since the beginning she has been involved in the Cross Language Evaluation Forum (CLEF), the European IR evaluation initiative. Thomas Mandl is professor for Information Science at the University of Hildesheim in Germany where he is teaching within the programme International Information Management. He studied information and computer science at the University of Regensburg in Germany, the University of Koblenz and at the University of Illinois at Champaign/Urbana, USA. Thomas Mandl first worked as a research assistant at the Social Science Information Centre in Bonn, Germany. He received both a doctorate degree in 2000 and a post doctorate degree (Habilitation) in 2006 from the University of Hildesheim. His research interests include information retrieval, human-computer interaction and internationalization of information technology and he has published some 200 papers on these topics. He has been the speaker of the special interest group in information retrieval (FGIR) and is currently member of the management board of the special interest group on human-computer interaction of the German Computer Science Society (GI).
Tony Russell-Rose is founder of 2dSearch (https://www.2dsearch.com), a start-up applying artificial intelligence, natural language processing and data visualisation to create the next generation of professional search tools. He is also director of UXLabs, a research and design studio specialising in complex search and information access applications. He has served as vice-chair of the BCS Information Retrieval group and chair of the CIEHF Human-Computer Interaction group. Previously Tony has led R&D teams at Canon, Reuters, Oracle, HP Labs and BT Labs. He is author of "Designing the Search Experience" (Elsevier, 2013) and publishes widely on IR, HCI and NLP.
Thanh Vu is a second-year PhD student in the Computing and Communications Department at the Open University. His main research focuses on web search personalisation. Thanh was awarded a B.Sc in Information System and an M.Sc in Computer Science from VNUH, University of Engineering and Technology, Vietnam in 2009 and 2013, respectively.
Tyler Tate is the cofounder of Twigkit—a Cambridge-based software company that provides tools for rapidly building search-based applications. He is also coauthor of Designing the Search Experience, and has written articles for the likes of A List Apart, Boxes & Arrows, UX Matters, and UX Magazine. In the past Tyler led design at Nutshell CRM, designed an enterprise content management system, ran a small design studio, and taught a university course on web design. He blogs at tylertate.com, and tweets as @tylertate.
Udo Kruschwitz is a Professor of Computer Science at the University of Essex. His main interests are in information retrieval and natural language engineering. He has been a member of the IRSG committee for quite a few years now and enjoys in particular being involved in organising events such as Search Solutions and ECIR Industry Day which aim at bringing together academia and industry. He co-chaired SIGIR 2012 Industry Track. He will also be chair of ECIR 2019 Industry Day.